Vijay Kumar
Artificial Intelligence · Knowledge-Based Systems · 2017–2020
A researcher in the Science corpus: 6 papers; trusts 41 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 123 citations into it; #9,832 of 35,345 by trust here, #9,557 by citations
- Computational Theory and Mathematics — 93 citations into it; #3,049 of 12,182 by trust here, #2,060 by citations
- Biomedical Engineering — 18 citations into it
- Molecular Biology — 10 citations into it
- Industrial and Manufacturing Engineering — 9 citations into it
- Optimization & Training — 8 citations into it
- Evaluation & Benchmarks — 5 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Vijay Kumar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ali Kaveh
- Seyedali Mirjalili
- Bilal Alatas
- Xin-She Yang
- Abdolreza Hatamlou
- Gaurav Dhiman
- Seyed Mohammad Mirjalili
- Antonio Mucherino
- Wen-Tsao Pan
- Amir H. Gandomi
Who trusts Vijay Kumar overall
- Gaurav Dhiman
- Eva Trojovská
- Laith Mohammad Abualigah
- Prachi Agrawal
- Anurag Malik
- Mohammad Dehghani
- Malik Braik
Papers from Vijay Kumar's perspective
Ordered by how strongly the researchers Vijay Kumar trusts endorse each paper. Same corpus, a different order for every researcher.
- No free lunch theorems for optimization
- Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
- A New Heuristic Optimization Algorithm: Harmony Search
- Artificial Intelligence through Simulated Evolution
- Genetic Algorithms in Search Optimization and Machine Learning
- Genetic Programming: On the Programming of Computers by Means of Natural Selection
- MBO: marriage in honey bees optimization-a Haplometrosis polygynous swarming approach (Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546))
- A novel heuristic optimization method: charged system search
- Mine blast algorithm: A new population based algorithm for solving constrained engineering optimization problems (Applied Soft Computing)
- Biogeography-Based Optimization (IEEE Transactions on Evolutionary Computation)
Their papers
- Spotted hyena optimizer: A novel bio-inspired based metaheuristic technique for engineering applications (2017) — 956 citations
- Emperor penguin optimizer: A bio-inspired algorithm for engineering problems (2018) — 646 citations
- A novel algorithm for global optimization: Rat Swarm Optimizer (2020) — 440 citations
- A review on genetic algorithm: past, present, and future (2020) — 4,003 citations
- Seagull optimization algorithm: Theory and its applications for large-scale industrial engineering problems (2019) — 1,092 citations
- A Comprehensive Review on Image Encryption Techniques (2018) — 318 citations